{"id":"W7017325486","doi":"","title":"Analysis of multivariate responses in patient reported outcome measures: missing data and auxiliary variables","year":2022,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Missing data; Imputation (statistics); Multivariate statistics; Latent variable model; Latent variable; Item response theory; Type I and type II errors; Multivariate analysis; Odds; Multivariate normal distribution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09116989,0.001302447,0.002117979,0.002337598,0.0007297794,0.001414101,0.002381724,0.001238154,0.001700391],"category_scores_gemma":[0.2457741,0.0004977616,0.003283923,0.003812992,0.001380397,0.002172051,0.002044133,0.002811409,0.0003174077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007861853,"about_ca_system_score_gemma":0.001971349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003236603,"about_ca_topic_score_gemma":0.00287694,"domain_scores_codex":[0.9355617,0.05294771,0.003172499,0.004059879,0.003699373,0.000558884],"domain_scores_gemma":[0.708541,0.2370322,0.0201572,0.02478044,0.00875535,0.0007337595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0022781,0.0005664719,0.433072,0.001951778,0.00570659,0.0003555657,0.002241461,0.09796932,0.00240957,0.02350798,0.003692104,0.4262491],"study_design_scores_gemma":[0.0002526562,0.001368666,0.2051822,0.0007458435,0.001261897,0.0005206307,0.0006410409,0.7270797,0.006725143,0.04916442,0.006789777,0.0002680889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1240494,0.0007212971,0.8717678,0.0007000635,0.0001032738,0.0004119852,0.001377499,0.0004095718,0.0004590724],"genre_scores_gemma":[0.6643175,0.0005217399,0.3297659,0.0003052225,0.0001282659,0.001249704,0.002833651,0.0001511773,0.0007267132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09116989,"threshold_uncertainty_score":0.4821582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4032229500924355,"score_gpt":0.4118754889677734,"score_spread":0.008652538875337956,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}